Update README.md

README.md

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 ---
 license: llama2
+language:
+  - en
+tags:
+  - not-for-all-audiences
 ---
+
+# Venus 103b - version 1.0
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/655febd724e0d359c1f21096/BSKlxWQSbh-liU8kGz4fF.png)
+
+## Overview
+
+A smaller version of Venus-120b that uses the same base models.
+
+## Model Details
+
+- A result of interleaving layers of [Sao10K/Euryale-1.3-L2-70B](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B), [NousResearch/Nous-Hermes-Llama2-70b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-70b), and [migtissera/SynthIA-70B-v1.5](https://huggingface.co/migtissera/SynthIA-70B-v1.5) using [mergekit](https://github.com/cg123/mergekit).
+- The resulting model has 120 layers and approximately 103 billion parameters.
+- See mergekit-config.yml for details on the merge method used.
+- See the `exl2-*` branches for exllama2 quantizations. The 5.65 bpw quant should fit in 80GB VRAM, and the 3.35 bpw quant should fit in 48GB VRAM.
+
+**Warning: This model will produce NSFW content!**
+
+## Results
+
+Seems to be a bit more coherent than Venus-120b, likely due to using SynthIA 1.2b instead of SynthIA 1.5.